GitHub user petermaxlee opened a pull request:
https://github.com/apache/spark/pull/14389
[SPARK-16714][SQL] map, struct function should accept decimals with
different precision/scale
## What changes were proposed in this pull request?
This patch changes the type coercion rule for map and struct functions so
they can accept decimals of different precision/scale. This is not a regression
from Spark 1.x, but it is a much bigger problem in Spark 2.0 because floating
point literals are parsed as decimals.
## How was this patch tested?
Created a new end-to-end test suite SQLTypeCoercionSuite. In the future we
can move all other type checking tests here. I first tried adding a test in
SQLQuerySuite but the suite was clearly already too large.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/petermaxlee/spark SPARK-16714
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14389.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14389
----
commit 9774605c6be7bc5f41267c37f66567a498ea9156
Author: petermaxlee <[email protected]>
Date: 2016-07-28T07:34:39Z
[SPARK-16714][SQL] map, struct function should accept decimals with
different precision/scale
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